Beukenlaan 137
5616 VD Eindhoven
The Netherlands
+31 85064 55 82
info@clinlabint.com
PanGlobal Media is not responsible for any error or omission that might occur in the electronic display of product or company data.
Graft-versus-host disease is a serious complication following hematopoietic stem cell transplantation (HSCT), with a high mortality rate. A clearer understanding of the molecular pathogenesis may allow robust biomarker identification and improved therapeutic options. MicroRNAs (miRNAs) are short non-coding regulatory RNAs that are expressed in both tissue and body fluids, and show great potential as clinically translatable biomarkers. Here we discuss the field of miRNA biomarker discovery in the setting of HSCT.
by Dr Rachel E. Crossland and Prof. Anne M. Dickinson
Allogeneic hematopoietic stem cell transplant and graft-versus-host disease
Allogeneic hematopoietic stem cell transplant (allo-HSCT) is a curative treatment for many blood cancers. It is based on the transplant of hematopoietic blood and marrow stem cells from related or unrelated donors, and over 17 000 allo-HSCT transplants a year are carried out in Europe. The therapy is curative due to the properties of subsets of donor-derived lymphocytes, including T-cells and natural killer cells, that are able to eradicate residual malignancy due to their ‘graft-versus-leukemia’ (GvL) effects. However, T-cells can also give rise to a life-threatening complication, called graft-versus-host disease (GvHD).
GvHD affects 40–70 % of HSCT patients, and severe disease is associated with 40–60 % mortality. The pathology of GvHD is not completely understood, but has been generally attributed to three main stages:
Acute GvHD (aGvHD) typically occurs within the first 100 days following transplantation and primarily presents in the skin, liver and gastrointestinal tract as an erythematous maculopapular rash, elevated bilirubin, and diarrhoea and vomiting, respectively [1]. Chronic GvHD (cGvHD) has a more delayed onset, and is a multi-organ allo- and auto-immune disorder that most frequently affects the skin, lung, mouth, liver, eye, joints and gastrointestinal tract causing a plethora of co-morbidities including cardiovascular, gastrointestinal, hepatic, pulmonary, endocrine, bone and joint disorders, infections and secondary malignancies. GvHD is commonly treated with immunosuppressants, which increase the patient’s susceptibility to life-threatening infections. Therefore, survival rates after allo-HSCT have not improved for over two decades, owing to major complications such as infections, GvHD and relapse of malignant disease. To date, GvHD can be well characterized by established and clinically validated GvHD grading scales and measurements of the National Institute of Health (NIH) Consensus classification. However, there is a lack of understanding of the immunobiology and metabolic triggers that cause the development and further perpetuation of GvHD, especially cGvHD and subsequent co-morbidity.
GvHD and biomarkers
Biomarkers are being increasingly used in the prediction, prognosis and diagnosis of diseases and are now being validated for prediction of outcome in patients with GvHD. Predicting and preventing GvHD would allow clinicians to develop of risk-adapted clinical protocols, encourage a curative GvL response and improve outcomes, including transplant survival rates and long-term complications. However, despite the frequency and significance of GvHD, there are currently no early diagnostic or predictive markers that have been validated for use in clinic. This may be attributed to a lack of understanding of the molecular pathobiology of aGvHD on a systemic level. Determining the molecular pathways involved at initiation of aGvHD will identify novel targets for therapeutic intervention, and these factors may have the potential to act as biomarkers for aGvHD.
MicroRNAs as biomarkers
MicroRNAs (miRNAs) represent a promising source of biomarkers for GvHD because they play critical roles in the development and function of the immune system and in transplant biology (Fig. 1). MiRNAs represent a family of small (19–24 nucleotide) non-coding RNAs, which affect the regulation of gene expression in eukaryotic cells by binding to the 3´-untranslated region of target messenger RNAs [2]. They are predicted to target around 50 % of all genes and play an important role in fundamental cellular processes such as development, stem cell division, apoptosis and cancer. MiRNAs represent ideal candidates for biomarker identification in GvHD as they can be assessed using accurate and sensitive technology (e.g. NanoString/qRT-PCR), quantified in bodily fluids that require minimally invasive sample collection (e.g. serum/urine) and further investigated for biological function (e.g. target protein identification) that may expand upon our understanding of GvHD pathology. Although the field of GvHD-related miRNA research is in its infancy, recent studies have demonstrated an emerging role for miRNAs as GvHD biomarkers.
MiRNAs as biomarkers for GvHD
MiR-155 was one of the first miRNAs to be associated with the regulation of aGvHD. This miRNA is a critical regulator of inflammation, as well as adaptive and innate immune responses. In 2012, Ranganathan et al. demonstrated upregulation of miR-155 in the T-cells of mice and patients developing aGvHD following HSCT [3]. Serum expression levels also correlated with GvHD severity, and serum IFN-gamma, IL-17 and IL-9 levels, suggesting the potential of miR-155 as a biomarker for aGvHD diagnosis, and as a therapeutic target. It has since been demonstrated that miR-155 expression in both donor CD8+ T-cells and conventional CD4+ CD25− T-cells is pivotal for aGvHD pathogenesis, and drives a pro-inflammatory Th1 phenotype in donor T-cells [4].
MiR-146 is increasingly being recognized as a ‘fine-tuner’ of cell function and differentiation in both innate and the adaptive immunity. MiR-146a controls innate immune cell and T-cell responses, and directly targets two adapter proteins in the nuclear factor-kappa B (NF-κB) activation pathway; tumour necrosis factor (TNF) receptor-associated factor 6 (TRAF6) and IL-1 receptor-associated kinase 1 (IRAK1) [5]. In addition, the survival and maturation of human plasmacytoid dendritic cells that are involved in GvHD can be regulated by miR-146a. With regard to GvHD, miR-146a has been shown to be upregulated in the T-cells of nice developing aGvHD, and transplanting miR-146a–/– T-cells causes increased GvHD severity, elevated TNF serum levels and reduced survival [6]. Interestingly, Stickel et al. observed downregulation of miR-146a shortly following allo-HCT in mice (day 2), followed by upregulation in T-cells later in the aGvHD reaction (days 6 and 12), which they hypothesized may be a rescue mechanism to counteract inflammation [6]. Expression of miR-146a has since been identified to show a statistical interaction with expression of miR-155 in the peripheral blood of allo-HSCT patients before disease onset, and this interaction was predictive of aGvHD incidence, further implicating its potential as a GvHD biomarker [7].
Serum expression of miR-29a has recently been implicated as a potential biomarker for GvHD. Ranganathan et al. showed in two independent cohorts that miR-29a is significantly upregulated in allo-HSCT patients at aGvHD onset compared with non-aGvHD patients, and as early as 2 weeks before symptomatic disease onset compared to time-matched controls [8]. Further investigation into the function of miR-29a showed that it binds to and activates dendritic cells, via toll-like receptor (TLR)7 and TLR8, resulting in the activation of the NF-κB pathway and secretion of pro-inflammatory cytokines. Treatment with locked nucleic acid anti-miR-29a significantly improved survival in a mouse model of aGvHD, while retaining GvL effects [8].
In 2013 an elegant study by Xiao et al. investigated miRNA expression profiles in the plasma of patients with aGvHD, compared to patients with no aGvHD, using a qRT-PCR array to include 345 miRNAs [9]. The study identified a final signature of four miRNAs (miR-423, miR-199-3p, miR-93*, and miR-377) that significantly predicted for aGvHD at 6 weeks post-HSCT, before the onset of symptoms. Furthermore, the model was associated with disease severity and poor overall survivall [9]. Gimondi et al. have also profiled circulating miRNA expression using a qRT-PCR platform, based on samples collected 28 days post-HSCT [10]. They detected 27 miRNAs that could collectively discriminate between aGvHD and non-aGvHD. MiR-194 and miR-518f were significantly upregulated in patients who later developed aGvHD, and these miRNAs were predicted to target critical pathways implicated in aGvHD pathogenesis [10]. Our laboratory has used NanoString technology to comprehensively profile the expression of n=799 mature miRNAs in the serum of patients who had undergone HSCT, to identify miRNAs with altered expression at aGvHD diagnosis (Fig. 2) [11]. Assessment of selected miRNAs was also replicated in independent cohorts of serum samples taken at aGvHD diagnosis and before disease onset to assess their prognostic potential. Expression analysis identified 61 miRNAs that were differentially expressed at aGvHD diagnosis, and miR-146a, miR-30b-5p, miR-374-5p, miR-181a, miR-20a, and miR-15a were significantly verified in an independent cohort. MiR-146a, miR-20a, miR-18, miR-19a, miR-19b, and miR-451 were also differentially expressed 14 days post-HSCT, before the onset of symptoms, in patients who later developed aGvHD. High miR-19b expression was associated with improved overall survival, whereas high miR-20a and miR-30b-5p were associated with lower rates of non-relapse mortality and improved overall survival [11]. Collectively, these miRNA profiling studies highlight that circulating biofluid miRNAs show altered expression at aGvHD onset and have the capacity to act as independent markers for prediction, prognosis and diagnosis of GvHD.
Future directions
Despite greater recognition of the potential for miRNAs as clinically adaptable biomarkers, they have not yet reached translation to the clinic. This is predominantly because of the lack of reproducibility and independent validation to date. Indeed, owing to the high degree of variability in factors when designing and performing miRNA profiling experiments, which may be attributed to clinical (patient characteristics, sampling time points and type of body fluid analysed), technical (sample preparation, miRNA profiling platform and spectrum of miRNAs profiled) and analytical (normalization strategy) factors, progress has been slow in realizing their full potential. Despite contradictory research results on the biological basis of GvHD, low patient cohorts in single transplant centre studies, insufficient characterization of GvHD and lack of understanding and knowledge of GvHD’s impact on the immune system, miRNA biomarkers continue to show promise, but many studies are still in their infancy. Future progress relies on collaboration between research groups, focusing on standardization of the samples, protocols and technologies used, which will greatly improve the reproducibility of findings allowing for extended validation of miRNAs of interest. The ultimate aim will be to diagnose GvHD and predict outcome before the onset of clinical symptoms, allowing for earlier therapy and personalized treatments and leading to reduced mortality and morbidity outcomes.
References
1. Shlomchik WD. Graft-versus-host disease. Nat Rev Immunol 2007; 7(5): 340–352.
2. Stefan LA, Phillip DZ. Diversifying microRNA sequence and function. Nature Reviews Mol Cell Biol 2013; 14(8): 475–488.
3. Ranganathan P, Heaphy CEA, Costinean S, Stauffer N, Na C, Hamadani M, Santhanam R, Mao C, Taylor PA, et al. Regulation of acute graft-versus-host disease by microRNA-155. Blood 2012; 119(20): 4786–4797.
4. Zitzer NC, Snyder K, Meng X, Taylor PA, Efebera YA, Devine SM, Blazar BR, Garzon R, Ranganathan P. MicroRNA-155 modulates acute graft-versus-host disease by impacting T cell expansion, migration, and effector function. J Immunol 2018; 200(12): 4170–4179.
5. Taganov KD, Boldin MP, Chang KJ, Baltimore D. NF-kappaB-dependent induction of microRNA miR-146, an inhibitor targeted to signaling proteins of innate immune responses. Proc Natl Acad Sci USA 2006; 103(33): 12481–12486.
6. Stickel N, Prinz G, Pfeifer D, Hasselblatt P, Schmitt-Graeff A, Follo M, Thimme R, Finke J, Duyster J, et al. MiR-146a regulates the TRAF6/TNF-axis in donor T cells during GvHD. Blood 2014; 124(16): 2586–2595.
7. Atarod S, Ahmed MM, Lendrem C, Pearce KF, Cope W, Norden J, Wang XN, Collin M, Dickinson AM. miR-146a and miR-155 expression levels in acute graft-versus-host disease incidence. Frontiers in immunology. 2016; 7: 56.
8. Ranganathan P, Ngankeu A, Zitzer NC, Leoncini P, Yu X, Casadei L, Challagundla K, Reichenbach DK, Garman S, et al. Serum miR-29a is upregulated in acute graft-versus-host disease and activates dendritic cells through TLR binding. J Immunol 2017; 198(6):2500–2512.
9. Xiao B, Wang Y, Li W, Baker M, Guo J, Corbet K, Tsalik EL, Li QJ, Palmer SM, et al. Plasma microRNA signature as a noninvasive biomarker for acute graft-versus-host disease. Blood 2013; 122(19): 3365–33675.
10. Gimondi S, Dugo M, Vendramin A, Bermema A, Biancon G, Cavane A, Corradini P, Carniti C. Circulating miRNA panel for prediction of acute graft-versus-host disease in lymphoma patients undergoing matched unrelated hematopoietic stem cell transplantation. Exp Hematol 2016; 44(7): 624–634.e1.
11. Crossland RE, Norden J, Juric MK, Green K, Pearce KF, Lendrem C, Greinix HT, Dickinson AM. Expression of serum microRNAs is altered during acute graft-versus-host disease. Front immunol 2017; 8: 308.
The authors
Rachel E. Crossland* PhD and Anne M. Dickinson PhD
Haematological Sciences, Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK
*Corresponding author
E-mail: Rachel.crossland@ncl.ac.uk
Twitter: @RECrossland
Genome-wide analysis of circulating cell-free DNA copy number detects active melanoma and predicts survival
Silva S, Danson S, Teare D, Taylor F, Bradford J, et al. Clin Chem 2018; 64(9): 1338–1346.
BACKGROUND: A substantial number of melanoma patients develop local or metastatic recurrence, and early detection of these is vital to maximize benefit from new therapies such as inhibitors of BRAF and MEK, or immune checkpoints. This study explored the use of novel DNA copy-number profiles in circulating cell-free DNA (cfDNA) as a potential biomarker of active disease and survival.
PATIENTS AND METHODS: Melanoma patients were recruited from oncology and dermatology clinics in Sheffield, UK, and cfDNA was isolated from stored blood plasma. Using low-coverage whole-genome sequencing, we created copy-number profiles from cfDNA from 83 melanoma patients, 44 of whom had active disease. We used scoring algorithms to summarize copy-number aberrations and investigated their utility in multivariable logistic and Cox regression analyses.
RESULTS: The copy-number aberration score (CNAS) was a good discriminator of active disease (odds ratio, 3.1; 95 % CI, 1.5–6.2; P=0.002), and CNAS above or below the 75th percentile remained a significant discriminator in multivariable analysis for active disease (P=0.019, with area under ROC curve of 0.90). Additionally, mortality was higher in those with CNASs above the 75th percentile than in those with lower scores (HR, 3.4; 95 % CI, 1.5–7.9; P=0.005), adjusting for stage of disease, disease status (active or resected), BRAF status, and cfDNA concentration.
CONCLUSIONS: This study demonstrates the potential of a de novo approach utilizing copy-number profiling of cfDNA as a biomarker of active disease and survival in melanoma. Longitudinal analysis of copy-number profiles as an early marker of relapsed disease is warranted.
Microbiological diagnostics of bloodstream infections in Europe – An ESGBIES survey
Idelevich EA, Seifert H, Sundqvist M, Scudeller L, Amit S, et al. Clin Microbiol Infect 2019; doi: 10.1016/j.cmi.2019.03.024 [Epub ahead of print].
OBJECTIVES: High-quality diagnosis of bloodstream infections (BSIs) is important for successful patient management. As knowledge on current practices of microbiological BSI diagnostics is limited, this project aimed to assess its current state in European microbiological laboratories.
METHODS: We performed an online questionnaire-based cross-sectional survey comprising 34 questions on practices of microbiological BSI diagnostics. The ESCMID Study Group for Bloodstream Infections, Endocarditis and Sepsis (ESGBIES) was the primary platform to engage national coordinators who recruited laboratories within their countries.
RESULTS: Responses were received from 209 laboratories in 25 European countries. While 32.5 % (68/209) of laboratories only used the classical processing of positive blood cultures (BCs), two-thirds applied rapid technologies. Of laboratories that provided data for respective question, 42.2 % (78/185) were able to start incubating blood cultures in automated BC incubators around-the-clock, and only 13 % (25/192) had established a 24-hour service to start immediate processing of positive BCs. Only 4.7 % (9/190) of laboratories validated and transmitted the results of identification and antimicrobial susceptibility testing (AST) of BC pathogens to clinicians 24 hours/day. MALDI-TOF MS from shortly incubated sub-cultures on solid media was the most commonly used approach to rapid pathogen identification from positive BCs, and direct disk diffusion was the most common rapid AST method from positive BCs.
CONCLUSIONS: Laboratories have started to implement novel technologies for rapid identification and AST for positive BCs. However, progress is severely compromised by limited operating hours such that current practice of BC diagnostics in Europe complies only partly with the requirements for optimal BSI management.
An integrated next-generation sequencing system for analyzing DNA mutations, gene fusions, and RNA expression in lung cancer
Haynes BC, Blidner RA, Cardwell RD, Zeigler R, Gokul S, et al. Transl Oncol 2019; 12(6): 836–845.
We developed and characterized a next-generation sequencing (NGS) technology for streamlined analysis of DNA and RNA using low-input, low-quality cancer specimens. A single-workflow, targeted NGS panel for non-small cell lung cancer (NSCLC) was designed covering 135 RNA and 55 DNA disease-relevant targets. This multiomic panel was used to assess 219 formalin-fixed paraffin-embedded NSCLC surgical resections and core needle biopsies. Mutations and expression phenotypes were identified consistent with previous large-scale genomic studies, including mutually exclusive DNA and RNA oncogenic driver events. Evaluation of a second cohort of low cell count fine-needle aspirate smears from the BATTLE-2 trial yielded 97 % agreement with an independent, validated NGS panel that was used with matched surgical specimens. Collectively, our data indicate that broad, clinically actionable insights that previously required independent assays, workflows, and analyses to assess both DNA and RNA can be conjoined in a first-tier, highly multiplexed NGS test, thereby providing faster, simpler, and more economical results.
Molecular diagnosis of asparagine synthetase (ASNS) deficiency in two Indian families and literature review of 29 ASNS deficient cases
Devi ARR, Naushad SM. Gene 2019; doi: 10.1016/j.gene.2019.04.024 [Epub ahead of print].
In the current study, we report three cases of asparagine synthetase (ASNS) deficiency from two consanguineous families. Family 1 had two early neonatal deaths due to a novel mutation in the ASNS gene c.788C > T (p.S263F) and both the children presented with microcephaly and one of them had severe intracranial hemorrhage. The proband from the second family was homozygous for c.146G > A (p.R49Q) and manifested myoclonic seizures, developmental delay, coarse hair and diffuse cortical atrophy. Molecular docking studies of both the mutations revealed alteration in the ligand binding site. To date, 26 mutations were reported in ASNS gene in 29 affected children indicating high degree of genetic heterogeneity and high mortality. Although asparagine depletion is not of diagnostic utility, multiple linear regression model suggested that asparagine levels vary to the extent of 20.6 % based on glutamine and aspartate levels and ASNS deficiency results in depletion of arginine synthesis. ASNS deficiency should be suspected in any neonate with microcephaly and epileptic encephalopathy.
Acinetobacter baumannii is a prevalent nosocomial pathogen with a high incidence of multidrug resistance. Treatment of infections with colistin can result in emergence of colistin-resistant strains. This occurs via modifications of the phosphate moieties of lipopolysaccharide-derived lipid A, which are readily identified by mass spectrometry (MS). In this article, we describe colistin susceptibility determinations by lipid MS of A. baumannii and our recent study in which we correlate MS results with traditional antimicrobial susceptibility testing of clinical isolates.
by Dr Lisa M. Leung, Dr Robert A. Myers, Dr Yohei Doi and Prof. Robert K. Ernst
Background
Colistin resistance in Gram-negative pathogens
Multidrug-resistant, Gram-negative bacterial pathogens continue to pose serious threats to public health. Carbapenem-resistant Enterobacteriaceae (CRE), Pseudomonas aeruginosa (CRPA), and Acinetobacter baumannii (CRAB) are given the highest global priority among drug-resistant organisms by organizations, such as the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC) [1]. Carbapenem-resistant infections can be treated with colistin, a last resort antibiotic of the polymyxin class, leading to an increase in colistin resistance and resulting in devastating consequences as it is one of the last remaining effective antimicrobials [2]. Furthermore, discovery of a plasmid-mediated colistin resistance gene, mcr, has intensified this urgency given the potential for rapid and widespread dissemination of colistin-resistant bacteria across the globe [3, 4]. Therefore, the WHO and CDC have prioritized development of novel diagnostics and therapeutics to address the global threat of pathogens, such as multidrug-resistant A. baumannii [5].
A novel diagnostic approach is proposed
In elucidating the mechanism of colistin resistance, researchers analysed microbial glycolipids by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). These findings contributed to determination of the resistance mechanism in A. baumannii, via addition of phosphoethanolamine onto the terminal phosphate moieties of the lipopolysaccharide (LPS)-derived lipid A (LA), decreasing the electronegativity of the membrane and, subsequently, the binding affinity of colistin [6]. These modifications create unique features on the resultant mass spectra of colistin-resistant strains that can be used as a diagnostic marker. Our group has published proof-of-concept studies utilizing this platform in the identification of the ESKAPE pathogens [7], as well as elucidation of colistin susceptibility in organisms such as Klebsiella pneumoniae [8], E. coli, and P. aeruginosa [9]. Protein-based microbial identification using MALDI-TOF MS is a simple and effective means of identifying causative agents although it still faces challenges, such as identification of closely related organisms (Candida or Shigella subspecies), antimicrobial susceptibility determination, or identification of organisms in polymicrobial or biologically relevant samples (urine, blood or wound effluent) [10]. Therefore, we offered this novel platform as an alternative and complementary approach to strengthen the overall diagnostic power of MALDI-TOF MS and continue to demonstrate its capability in our latest study detecting colistin resistance in A. baumannii [11].
Methods and results
Overview of clinical data
In this study, we prospectively collected A. baumannii complex clinical isolates from a hospital system in Pennsylvania between 2014 and 2016, a total of 451 isolates from 284 patients. Among the 284 unique isolates from each patient, 73.6% (209 isolates) were determined to be A. baumannii, 18.7% (53 isolates) Acinetobacter pittii, 3.5% (10 isolates) Acinetobacter nosocomialis, and 1.8% (5 isolates) Acinetobacter calcoaceticus. The remaining <1% were identified as the following Acinetobacter genospecies that do not belong to the A. baumannii complex: Acinetobacter radioresistens (2 isolates), Acinetobacter guillouliae (1 isolate), and Acinetobacter junii (1 isolate). Three isolates (0.7%) could not be reliably identified. All isolates were evaluated for colistin resistance using standard minimum inhibitory concentration (MIC) testing by both agar dilution and broth microdilution in accordance with the clinical breakpoint provided by the EUCAST [12]. Of the 451 clinical isolates, 394 isolates from 249 patients were found to be susceptible to colistin (≤2 µg/mL), and a total of 39 isolates (8.6%) from 20 patients were identified as resistant (>2 µg/mL).
The colistin-resistant A. baumannii mass spectrum
All strains were cultured overnight and subjected to a hot ammonium isobutyrate reaction to extract cellular lipids. Extracts were analysed by MALDI-TOF in negative ion mode using a Bruker microflex LRF MALDI-TOF mass spectrometer operated in reflectron mode and using norharmane as a matrix. Ions most often observed in the mass spectra were m/z 1404, 1728, and 1910; these have been previously characterized [6], with m/z 1910 representing the full bis-phosphorylated, hepta-acylated lipid A structure (Fig. 1). Resistant isolates were defined by the presence of an ion at m/z 2033, representing the addition of a phosphoethanolamine moiety to one of the phosphate moieties of the m/z 1910 structure (∆m/z=123) (Fig. 1). Determination of resistance was made by observing this ion in acquired mass spectra for each sample above a signal-to-noise ratio of 3. Of the 451 clinical isolates, 397 were determined to be susceptible to colistin (i.e. lacking an ion at m/z 2033), whereas 54 (12.0%) showed the presence of the m/z 2033 and were classified as resistant.
Differentiation of the A. baumannii complex
Differences were observed between spectra collected from the A. baumannii complex isolates, A. baumannii, A. pittii, and A. nosocomialis (Fig. 2). In general, an ion at m/z 1882 displayed higher signal intensity in A. pittii and A. nosocomialis isolates, about 80% relative intensity to the base peak at m/z 1910 compared to about 10% for A. baumannii, which may indicate differences in relative abundances of specific LPS structures. This ion most likely results from an exchange of a shorter chain fatty acyl group (C2H4, ∆m/z=28) from one of the acyl chains of the base structure at m/z 1910, although this structure is inferred and further analyses would need to be conducted for positive structural determinations. In addition, A. pittii and A. nosocomialis isolates showed prominent novel ions at m/z 1866 and 1894, indicating differences in hydroxylation events (∆m/z=16) from ions at m/z 1882 and 1910, respectively, potentially representing the addition of a hydroxyl moiety to one of the attached fatty acyls of lipid A. Among the 39 colistin-resistant isolates, only one was identified as non-baumannii (A. nosocomialis). This means that non-baumannii isolates occur at a lower incidence among resistant isolates (3.1%), as compared to their incidence among Acinetobacter isolates in general (19.7%) indicating a higher resistance rate of A. baumannii versus non-baumannii complex isolates in this study.
MIC versus MS
Discordant results between MIC and MS findings were resolved by multiple-replicate retesting to confirm susceptibility profiles, and final determinations were compared. Of the 451 total isolates used in our study, 394 isolates from 249 patients were determined to be susceptible by both MIC and MS and 39 isolates from 20 patients were determined to be resistant, giving a specificity of 94.0% and a sensitivity of 92.9%. Three isolates were determined to be resistant by MIC yet susceptible by MS and 15 isolates were found to be resistant by MS but susceptible by MIC. When considering only the first isolates isolated from the 284 patients in our study, sensitivity and specificity values change slightly – to 83.3% and 97.4%, respectively. Thirty-nine isolates were subjected to multiple-replicate retesting based on discordant results between agar dilution and broth microdilution methods, MIC and MS results, or both. Of the 33 isolates that underwent MIC retesting, 26 (or 89.7%) gave different susceptibility profiles, 25 went from resistant to susceptible and one was classified as indeterminate. Of the 26 isolates that underwent MS retesting, only three (11.5%) saw a change in their susceptibility profiles; two went from resistant to susceptible and one from susceptible to resistant. Although there was a high association between susceptibility determinations by MIC and MS overall, the positive predictive value was calculated as 72.2% (negative predictive value=99.2%). This is largely owing to the 15 isolates where resistance-associated ions were observed in the mass spectra, but which were determined susceptible by MIC. Chromosomally-mediated colistin resistance in Acinetobacter species is due to overexpression of LPS-modifying genes; therefore, modification of LPS will vary over time. It is presently unclear whether this ‘resistant’ profile is a valid determination of resistance or whether this isolate would present as a resistant infection in a clinical scenario.
Conclusion
A. baumannii, a prevalent, Gram-negative coccobacillus pathogen, poses a significant challenge to clinicians due to the incidence of hospital-acquired and drug-resistant infections. Close monitoring of this pathogen and other A. baumannii complex organisms is considered of critical importance to public health organizations. Here, we surveyed 451 Acinetobacter isolates prospectively collected from patients at a major Pennsylvania health system over a 3-year period. We determined colistin resistance by MIC testing, as well as by MALDI-TOF MS. As in previous studies of colistin-resistant K. pneumoniae, P. aeruginosa, and A. baumannii [6, 8, 13], the data showed a strong association between resistant MIC determinations and the observation of higher m/z ions by MS consistent with modification to LA and previously demonstrated to confer resistance. A. nosocomialis, A. pittii, and A. calcoaceticus, along with A. baumannii are collectively identified as the A. baumannii complex organisms. In our prospective study, we found that A. baumannii isolates were the predominant species within the A. baumannii complex, yet represented a smaller proportion (73.6%) than what has previously been observed [14]. We also demonstrated that a lipid MS profile offers another diagnostic tool for differentiation and accurate surveillance of these pathogens. Furthermore, the finding of resistance ions among a resistant A. nosocomialis isolate demonstrates that A. baumannii complex organisms likely achieve colistin resistance via the same LPS-modifying mechanism (Fig. 2). Overall, we conclude that glycolipid MS profiling can effectively detect colistin resistance in A. baumannii and has the potential to direct antimicrobial stewardship in the clinic, further validating our recently introduced diagnostic platform [7].
References
1. Antibiotic resistance threats in the United States, 2013; p114. Centers for Disease Control and Prevention 2013 (https://www.cdc.gov/drugresistance/pdf/ar-threats-2013-508.pdf)
2. Osei Sekyere J, Govinden U, Bester LA, Essack SY. Colistin and tigecycline resistance in carbapenemase-producing Gram-negative bacteria: emerging resistance mechanisms and detection methods. J Appl Microbiol 2016; 121(3): 601–617.
3. Liu YY, Wang Y, Walsh TR, Yi LX, Zhang R, Spencer J, et al. Emergence of plasmid-mediated colistin resistance mechanism MCR-1 in animals and human beings in China: a microbiological and molecular biological study. Lancet Infect Dis 2016; 16(2): 161–168.
4. Bardet L, Rolain JM. Development of new tools to detect colistin-resistance among Enterobacteriaceae strains. Can J Infect Dis Med Microbiol 2018; 2018: 3095249.
5. Global priority list of antibiotic-resistant bacteria to guide research, discovery, and development of new antibiotics. World Health Organization 2017 (https://www.who.int/medicines/publications/global-priority-list-antibiotic-resistant-bacteria/en/).
6. Pelletier MR1, Casella LG, Jones JW, Adams MD, Zurawski DV, Hazlett KR, et al. Unique structural modifications are present in the lipopolysaccharide from colistin-resistant strains of Acinetobacter baumannii. Antimicrob Agents Chemother 2013; 57(10): 4831–4840.
7. Leung LM, Fondrie WE, Doi Y, Johnson JK, Strickland DK, Ernst RK, et al. Identification of the ESKAPE pathogens by mass spectrometric analysis of microbial membrane glycolipids. Sci Rep 2017; 7(1): 6403.
8. Leung LM, Cooper VS, Rasko DA, Guo Q, Pacey MP, McElheny CL, Mettus RT, et al. Structural modification of LPS in colistin-resistant, KPC-producing Klebsiella pneumoniae. J Antimicrob Chemother 2017; 72(11): 3035–3042.
9. Liu YY, Chandler CE, Leung LM, McElheny CL, Mettus RT, Shanks RMQ, et al. Structural modification of lipopolysaccharide conferred by mcr-1 in Gram-negative ESKAPE pathogens. Antimicrob Agents Chemother 2017; 61(6): pii: e00580-17.
10. Elssner T, Kostrzewa M, Maier T, Kruppa G. Microorganism identification based on MALDI-TOF-MS fingerprints. In NATO Science for Peace and Security Series A: Chemistry and Biology, pp. 99–113. Springer 2011.
11. Leung LM, McElheny CL, Gardner FM, Chandler CE, Bowler SL, Mettus RT, et al. A prospective study of Acinetobacter baumannii complex isolates and colistin susceptibility monitoring by mass spectrometry of microbial membrane glycolipids. J Clin Microbiol 2019; 57(3): pii: e01100-18.
12. Recommendations for MIC determination of colistin (polymyxin E ); as recommended by the joint CLSI-EUCAST Polymyxin Breakpoints Working Group. EUCAST 2016 (http://www.bioconnections.co.uk/files/merlin/Recommendations_for_MIC_determination_of_colistin_March_2016.pdf).
13. Miller AK, Brannon MK, Stevens L, Johansen HK, Selgrade SE, Miller SI, et al. PhoQ mutations promote lipid a modification and polymyxin resistance of Pseudomonas aeruginosa found in colistin-treated cystic fibrosis patients. Antimicrob Agents Chemother 2011; 55(12): 5761–579.
14. Queenan AM, Pillar CM, Deane J, Sahm DF, Lynch AS, Flamm RK, et al. Multidrug resistance among Acinetobacter spp. in the USA and activity profile of key agents: results from CAPITAL Surveillance 2010. Diagn Microbiol Infect Dis 2012; 73(3): 267–270
The authors
Lisa M. Leung1,2 PhD, Robert A. Myers3 PhD, Yohei Doi4 MD, and Robert K. Ernst*2 PhD
1Divisions of Molecular Biology and Microbiology, Maryland Department of Health Laboratories Administration, Baltimore, MD, USA
2Department of Microbial Pathogenesis, University of Maryland School of Dentistry, Baltimore, MD, USA
3Maryland Department of Health Laboratories Administration, Baltimore, MD, USA
4Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
*Corresponding author
E-mail: rkernst@umaryland.edu
by Dr Jacqueline Gosink In vitro determination of specific IgE is nowadays a central pillar of allergy diagnostics. Specific IgE against up to 54 allergens can be investigated in parallel using the EUROLINE immunoblot system. Individual EUROLINE profiles are targeted to specific indications, encompassing food, inhalation, atopy, insect venoms and pediatrics, while diverse region-specific profiles […]
November 2024
The leading international magazine for Clinical laboratory Equipment for everyone in the Vitro diagnostics
Beukenlaan 137
5616 VD Eindhoven
The Netherlands
+31 85064 55 82
info@clinlabint.com
PanGlobal Media is not responsible for any error or omission that might occur in the electronic display of product or company data.
This site uses cookies. By continuing to browse the site, you are agreeing to our use of cookies.
Accept settingsHide notification onlyCookie settingsWe may ask you to place cookies on your device. We use cookies to let us know when you visit our websites, how you interact with us, to enrich your user experience and to customise your relationship with our website.
Click on the different sections for more information. You can also change some of your preferences. Please note that blocking some types of cookies may affect your experience on our websites and the services we can provide.
These cookies are strictly necessary to provide you with services available through our website and to use some of its features.
Because these cookies are strictly necessary to provide the website, refusing them will affect the functioning of our site. You can always block or delete cookies by changing your browser settings and block all cookies on this website forcibly. But this will always ask you to accept/refuse cookies when you visit our site again.
We fully respect if you want to refuse cookies, but to avoid asking you each time again to kindly allow us to store a cookie for that purpose. You are always free to unsubscribe or other cookies to get a better experience. If you refuse cookies, we will delete all cookies set in our domain.
We provide you with a list of cookies stored on your computer in our domain, so that you can check what we have stored. For security reasons, we cannot display or modify cookies from other domains. You can check these in your browser's security settings.
.These cookies collect information that is used in aggregate form to help us understand how our website is used or how effective our marketing campaigns are, or to help us customise our website and application for you to improve your experience.
If you do not want us to track your visit to our site, you can disable this in your browser here:
.
We also use various external services such as Google Webfonts, Google Maps and external video providers. Since these providers may collect personal data such as your IP address, you can block them here. Please note that this may significantly reduce the functionality and appearance of our site. Changes will only be effective once you reload the page
Google Webfont Settings:
Google Maps Settings:
Google reCaptcha settings:
Vimeo and Youtube videos embedding:
.U kunt meer lezen over onze cookies en privacy-instellingen op onze Privacybeleid-pagina.
Privacy policy